Tag Archives: betfair trading

Mastering Strategy #5: Trade a Player After They Lose Their Serve

In our overview post on Tennis Trading: The Different Trades You Can Make on a Tennis Match, we introduced the concept of backing a strong player after they drop a service game.

When a favourite gets broken, the market often overreacts, causing their back odds to drift significantly higher. This creates a prime value entry for traders anticipating an immediate bounce-back or a break-back in the following games. However, simply buying every broken favourite blindly is a fast track to draining your bankroll. Success requires precise entry criteria, clear profit targets, and disciplined stop-loss management.

Here is a deep dive into how to trade this setup, complete with real-world profitable and losing trade examples using a standard base stake of £10.

The Core Concept & Entry Checklist

When a player loses serve, their odds instantly jump (for example, moving from 1.40 up to 1.80 or higher). This strategy aims to back the broken player at inflated odds and exit the market once momentum stabilizes or a break-back occurs.

Before entering a position, run through this checklist:

  • Return Profile: Is the broken player a strong returner (high break-back percentage)?
  • Server Vulnerability: Is the opponent’s serve historically weak or unreliable under pressure?
  • Body Language/Stats: Is the favourite creating break points despite losing serve, or are they struggling physically/mentally?

Example 1: The Profitable Trade (Successful Break-Back)

Scenario Setup

  • Pre-match Favourite: Player A (Trading pre-match at 1.40)
  • Match Situation: Player A wins Set 1 easily (6–3). In Set 2, at 1–1, Player A plays a sloppy game and gets broken to go 1–2 down.

Trade Execution

  1. Entry Point: Following the break at 1–2, Player A’s odds drift from 1.42 up to 1.85. Seeing that Player A generated three break points in their previous return game, you back Player A for £10 at 1.85.
    • Outlay / Risk: £10 stake to return £18.50 (£8.50 potential profit).
  2. In-Play Dynamics: In the very next game (1–2), Player A applies heavy pressure on the return, forcing errors and successfully securing the break-back to level the set at 2–2.
  3. Exit Point: Immediately following the break-back, the market re-adjusts. Player A’s odds contract rapidly back down to 1.48. You lay Player A for £12.50 at 1.48 to trade out and green up across all outcomes.

Outcome & Profit

  • Back Stake: £10 @ 1.85
  • Lay Stake: £12.50 @ 1.48 (Liability = £6.00)
  • Result: Guaranteed profit of approximately £2.50 regardless of who goes on to win the match (before exchange commission), completely risk-free for the rest of the game.

Example 2: The Losing Trade (Disciplined Stop-Loss)

Not every broken favourite bounces back immediately. Having a hard stop-loss strategy is crucial to prevent a minor setback from turning into a devastating loss.

Scenario Setup

  • Pre-match Favourite: Player B (Trading pre-match at 1.35)
  • Match Situation: Set 1 is tied at 3–3. Player B serves poorly and suffers a break, putting them 3–4 down.

Trade Execution

  1. Entry Point: Player B’s odds drift from 1.40 to 1.75. You enter the market by backing Player B for £10 at 1.75, anticipating a swift response.
  2. Stop-Loss Strategy: Define a strict exit rule prior to entry: If Player B fails to break back on the next game AND faces serious pressure on their subsequent service game (or if their odds cross 2.25), close the position immediately.
  3. In-Play Dynamics:
    • Game 8 (3–4): Player B fails to convert break points; the opponent holds serve (3–5). Odds move to 1.95.
    • Game 9 (3–5): Player B drops to 0–40 on their own serve due to consecutive unforced errors.
  4. Exit Point (Stop-Loss Trigger): Rather than hoping for a miracle save from 0–40 down, execute your stop-loss and lay Player B for £10 at 2.25 to cap your loss.

Outcome & Loss Management

  • Back Stake: £10 @ 1.75
  • Lay Stake: £10 @ 2.25
  • Result: Total loss limited to £5.00 (or ~£2.22 if hedged equally across both outcomes).

By executing your stop-loss at 2.25, you prevented a potential £10.00 total loss had Player B gone on to lose the set 3–6 and drifted past 3.50.

Key Takeaways for Execution

  1. Pre-define Your Exit: Never enter a position without knowing the exact score line or odds trigger where you will cut your losses.
  2. Avoid “Hope Trading”: If a player drops serve because of double faults, sluggish movement, or visible physical pain, skip the trade—the price drift is justified.
  3. Lock in Green: When the break-back occurs, trade out immediately to secure your profit rather than holding out for a full match victory.

Master the “Lay to Back” Tennis Trading Strategy: Optimum Odds Groups & Data Insights

In tennis sports trading, Lay to Back (L2B) is one of the most structured, high-probability trading methodologies available. Rather than backing a player and hoping they win the entire match, laying a player (selling their probability) allows traders to capitalize on market overreactions, momentum swings, and in-play score volatility before backing them back at higher odds to lock in a guaranteed profit.

Analyzing 2026 ATP tour match data reveals how performance dynamics, set-loss recovery rates, and odds movement vary across pre-match price ranges. Choosing the correct Odds Group is essential for determining liability risk, entry triggers, and trade execution.

Data Insights: Player Behavior Across Odds Groups

Using full ATP match data across Grand Slams, Masters, ATP 500, and ATP 250 events, pre-match favorites can be grouped by average implied probability to observe set-loss frequency and match stretch rates:

Odds GroupFavorite Price RangeFavorite Win RateLoser Wins Set 1 Rate3+ Set Match RatePrimary Risk Profile
Group A: Heavy Favorites1.01 – 1.2086.2%17.4%56.4%Low liability / High swing threshold
Group B: Moderate Favorites1.21 – 1.4074.0%19.3%48.9%Optimum L2B Sweet Spot
Group C: Lean Favorites1.41 – 1.6063.3%22.2%49.8%Medium risk / High in-play volatility
Group D: Coin-Flip Matches1.61 – 2.0056.6%21.7%47.4%High liability / High match turnover

The Optimum Odds Groups for Lay to Back Trades

1. Group B: 1.21 – 1.40 (The Optimum Sweet Spot)

  • Why it works: Short favorites in this band win 74.0% of their matches overall, but fail to win straight sets in over 48.9% of matches.
  • The Opportunity: When a 1.25–1.35 favorite loses the opening service game or drops the first set, their odds typically float up into the 1.70–2.20 range. Because their baseline quality remains superior, their recovery rate is exceptionally strong.
  • Trade Mechanics: Lay the favorite early when they face break points or drop behind, then Back to hedge once they steady their service game or reclaim the break.

2. Group C: 1.41 – 1.60 (The Volatility Trader’s Choice)

  • Why it works: Favorites in this category lose Set 1 in 22.2% of matches. When a 1.50 favorite goes down a set, their price often drifts to 2.80–3.20.
  • The Opportunity: This price drift offers significant tick movement for Lay to Back entries on the favorite before or during set 2, as market resistance creates price elasticity.

3. Group A: 1.01 – 1.20 (The Recovery Trade)

  • Why it works: Heavy favorites rarely lose outright (86.2% win rate), but they go to 3 or more sets in 56.4% of matches (including Grand Slams).
  • The Opportunity: Laying a 1.10 favorite at start-of-match carries minimal liability. If they lose an early service game, the price inflates sharply (e.g., from 1.10 to 1.35+), yielding an immediate hedge window.

Step-by-Step L2B Execution Workflow

[ Pre-Match Identification ] 
         │
         ▼
[ Filter: Fav Odds Range 1.21 - 1.50 ]
         │
         ▼
[ In-Play Trigger: Fav drops early serve or drops Set 1 ]
         │
         ▼
[ ACTION: LAY the Favorite at inflated low price ]
         │
         ▼
[ Price Movement: Favorite breaks back or stabilizes ]
         │
         ▼
[ ACTION: BACK the Favorite at higher odds to hedge profit ]

Execution Rules & Risk Management

  1. Strict Stop-Loss Discipline: If laying a favorite after they drop Set 1, set a clear stop-loss trigger if they fall behind an additional double-break in Set 2.
  2. Beware of Surface Variations: Clay court matches feature higher break rates and wider price swings compared to Fast Hard or Grass courts. Factor surface speed into tick targets.
  3. Green-Up Equally: Always use exchange auto-hedging (“Cash Out” / “Green Up”) to spread profit evenly across both outcomes regardless of who completes the match victory.

Disclaimer:

The information, data, and strategies shared in this post are for educational and informational purposes only and do not constitute financial or betting advice. Sports trading carries inherent risks, and past performance or statistical insights do not guarantee future outcomes. Always manage your risk responsibly, bet only what you can afford to lose, and adhere to local gambling regulations.

Mastering the Lay-to-Back Tennis Trading Strategy

In tennis exchange trading, success isn’t about predicting who will hold the trophy at the end of the match—it’s about capitalizing on market overreactions and price swings.

While backing a favorite is intuitive, one of the most effective strategies for value-focused traders is the Lay-to-Back trade. This strategy flips traditional betting on its head: you start by betting against a player at short odds and exit by betting for them once their odds rise.

What is a Lay-to-Back Trade?

A Lay-to-Back trade is a two-step position:

  1. The Entry (Lay): You lay a player at relatively low odds (e.g., 1.50), betting that they will struggle or that the market has overvalued their immediate probability of winning.
  2. The Exit (Back): If the player loses a set, gets broken on serve, or drifts in price due to visible fatigue or momentum shifts, you back that same player at higher odds (e.g., 3.00).

By doing this, you lock in a profit or hedge your exposure before the final match result is ever decided.

Visualizing the Strategy: The Odds Movement

Here is a simple flow showing how a Lay-to-Back trade unfolds over the course of a match:

[ ENTRY: PRE-MATCH / EARLY GAME ]
        │
        ▼
   Lay Player A @ 1.50
   (Risking liability on a low-odds favorite)
        │
        ▼
[ IN-PLAY EVENT ]
   Player A loses Set 1 or gets broken on serve
        │
        ▼
[ EXIT: TRADE OUT ]
   Back Player A @ 3.00
        │
        ▼
[ RESULT ]
   Profit locked in across all outcomes (Green-up)

Worked Example: Laying a Vulnerable Favorite

Let’s walk through a concrete scenario on a betting exchange like Smarkets or Betfair.

Scenario

  • Match: Player A vs. Player B
  • Pre-Match Odds: Player A is trading at 1.50.
  • Assessment: Player A historically starts slowly or struggles on their second serve, making 1.50 too short of a price.

Step-by-Step Execution

1. Initial Lay Bet

You lay Player A for £20 at odds of 1.50.

  • Liability (Risk):Stake x (Odds} – 1) = £20 x (1.50 – 1) = £10.00
  • Potential Gain: £20 (if Player A loses or drifts)

2. Match Progression

Player A drops serve early in the first set and ultimately loses Set 1 6–4. The exchange market reacts immediately to the setback, and Player A’s odds drift from 1.50 up to 3.00.

3. Exit Back Bet

With Player A now at 3.00, you back Player A for £10 to close your liability and hedge your position.

Outcome Breakdown

Player A WinsPlayer B Wins
Lay Outcome: -£10.00 (lost liability)Lay Outcome: +£20.00 (kept lay stake)
Back Outcome: +£20.00 ({Profit} = £10 \times (3.00 – 1))Back Outcome: -£10.00 (lost back stake)
Net Profit: +£10.00Net Profit: +£10.00

By spreading your stakes, you secure a £10 profit regardless of who goes on to win the match.

Key Triggers for a Lay-to-Back Trade

Knowing when to execute a Lay-to-Back trade is crucial. Look out for these high-probability setups:

  • Slow Starters: Players who take time to adjust to match conditions or opponent rhythms.
  • Weak Second Serves: Favorites whose second-serve win percentage is low, making them prone to early breaks.
  • Underdog Momentum: An opponent who returns aggressively and puts early pressure on the favorite’s service games.
  • Physical Flips: Signs of minor injury, lethargy, or frustration during warm-ups or early games.

Summary Checklist

  • Entry: Lay short odds (1.20 – 1.60) when a favorite is overpriced.
  • Target Exit: Back the player at double their original odds or higher after a set loss or serve break.
  • Risk Management: Always pre-determine a stop-loss point (e.g., if the favorite dominates early and drops to 1.20, take a small controlled loss).

Disclaimer: The content provided in this post is for educational and informational purposes only and does not constitute financial or sports betting advice. Sports trading and betting on exchanges carry inherent financial risks, and past market performance or specific trading strategies do not guarantee future results. Never stake more than you can afford to lose. Please gamble responsibly.

Tennis Trading: The Different Trades You Can Make on a Tennis Match

Tennis is one of the most interesting sports for exchange trading.

Unlike traditional betting, tennis trading allows you to enter a position and then potentially close it before the match has finished. Prices can move dramatically after a single break of serve, a set win, an injury, or even a change in momentum.

That creates opportunities for traders who are prepared to manage both their entries and exits.

On an exchange such as Smarkets, there are several different ways to trade a tennis match. Some trades are relatively straightforward, while others require a much better understanding of tennis, momentum and probability.

This guide looks at the main tennis trades and explains how they work.

1. Back the Favourite and Trade Out

This is probably the simplest tennis position trade.

You back a player at relatively high odds and hope their price shortens as they move closer to winning.

Example

Player A is trading at:

2.50

You back them for £10.

If Player A wins the first set and their price subsequently falls to:

1.70

you can lay the same player to lock in a profit.

The important point is that you don’t necessarily need Player A to win the match.

You’re trading the movement in the price.

When can it work?

This type of trade can be particularly interesting when:

  • The player is expected to start strongly.
  • They are a strong server.
  • They have a favourable matchup.
  • Their opponent has poor recent form.
  • The market appears to have underestimated their chances.

However, the biggest danger is backing a player whose price continues to drift.

2. Back-to-Lay

The classic back-to-lay trade involves backing a player and then laying them at shorter odds.

For example:

Back £10 @ 3.00

If the price falls to:

Lay @ 2.00

you can trade out.

The amount you can win depends on the exact stake and exchange commission, so traders should calculate their green-up position before entering.

The advantage is that the trade can be closed before the final result.

3. Lay-to-Back

The opposite strategy is to lay a player at relatively short odds and hope their price drifts.

For example:

Lay Player A @ 1.50

Player A then loses the first set and their price moves to:

3.00

You can back Player A at the higher price to close the trade.

This is effectively betting that the market has overestimated a player’s chances at the original price.

It can be particularly interesting when a short-priced player is struggling despite being the pre-match favourite.

4. Lay the Favourite

One of the most popular tennis trading strategies is laying a strong favourite.

Suppose:

Player A — 1.20

Player B — 5.50

You believe Player A is vulnerable.

Instead of backing Player B, you can lay Player A.

If Player A gets into trouble, their price can increase rapidly.

For example:

1.20 → 1.50 → 2.00 → 3.00

The trader can then back Player A at the higher price and potentially lock in a profit.

The attraction of this strategy is that tennis prices can move extremely quickly after a break of serve.

5. Trade a Player After They Lose Their Serve

A break of serve can produce a significant price movement.

Imagine Player A is trading at:

1.40

They are broken early in the second set.

Their price might move to:

1.80

or higher.

A trader could consider backing them after the price drift if they believe the break is likely to be recovered.

This is essentially trading a potential break-back.

However, this is not simply a case of “a player has been broken, therefore back them.”

You need to consider:

  • Who is serving?
  • How strong is the server?
  • What is the score?
  • How has the match been played?
  • Has the player been creating break opportunities?
  • Is the player physically struggling?

6. Trade the Break Back

The opposite situation can also create an opportunity.

Suppose Player A is serving for the set but is broken.

The market reacts quickly and their price drifts.

If you believe Player A can immediately break back, you could back them at the bigger price.

A successful break back can produce a rapid price contraction.

For example:

1.30 → 1.75 → 1.35

That can create a trading opportunity without requiring the player to win the match.

7. Set Betting Trades

You don’t have to trade the match-winner market.

Set markets can also provide opportunities.

For example:

Player A to win Set 1

You might back them before the match or early in the set.

If they move into a strong position, you can potentially trade out.

Set markets can sometimes react more dramatically than match markets because there is less time remaining for the outcome to change.

The downside is that liquidity can be lower.

8. Correct Score Trading

Correct-score markets can also be traded.

Examples include:

  • 2–0
  • 2–1
  • 0–2
  • 1–2

At the beginning of a match, a 2–0 correct score might be trading at a relatively high price.

If the favourite wins the first set, the 2–0 price can shorten considerably.

A trader can then close the position.

This is a much more aggressive form of trading because there are fewer ways for the trade to succeed.

9. Total Games Trading

Another interesting tennis market is total games.

Examples:

Over 22.5 games

or

Under 22.5 games

You can trade the total number of games in the match.

This can be particularly interesting when the match is expected to be close.

For example, a first set finishing:

7–6

can cause the Over price to shorten dramatically.

A trader who backed Over before the match may then have an opportunity to close the position.

10. Over/Under Games in a Set

The same principle can be applied to individual sets.

For example:

Over 9.5 games — Set 1

If the first set reaches 5–4, the market may react strongly.

Likewise, if a player races into a 5–1 lead, the Under price can shorten considerably.

These markets require traders to understand the relationship between the current score and the remaining games required.

11. Trading the First Set

The first set provides some particularly interesting trading opportunities.

Suppose Player A is priced at:

1.80

They start well and move to:

4–2

Their price might shorten substantially.

Rather than holding the position until the end of the match, a trader can potentially take the profit at that point.

The advantage is that you are reducing your exposure to what happens later in the match.

12. Trading Momentum

Momentum is one of the most discussed subjects in tennis trading.

Imagine:

Player A wins the first set.

Then Player B immediately goes a break ahead in the second.

The market may move rapidly.

A trader might believe the match has swung too far towards Player B and look for a position on Player A.

However, momentum should never be treated as a guarantee.

A player may have genuinely lost control of the match.

The key is determining whether the price movement is justified or excessive.

13. Trading the Server

Because tennis is based around service games, the current server can be extremely important.

Consider a player trading at:

1.50

They are serving at 5–4 for the set.

If they hold serve, they win the set and their price could shorten significantly.

If they are broken, however, the price can move sharply in the opposite direction.

This creates a potential short-term trading opportunity around important service games.

14. Trading Tie-Breaks

Tie-breaks can produce some of the fastest price movements in tennis.

At 6–6, the next few points can dramatically change the match price.

A player might move from:

1.70

to:

1.25

after gaining a significant lead.

But the reverse can happen just as quickly.

Tie-break trading therefore carries considerable risk.

A small number of points can completely change the position.

15. Trading a Favourite Who Starts Slowly

Sometimes a pre-match favourite starts badly.

For example:

Player A starts at:

1.30

They lose the first set and drift to:

2.80

A trader who believes the pre-match assessment remains valid may consider backing them at the larger price.

This is sometimes referred to as backing the favourite after a price drift.

But there is an important distinction between a player simply having a bad set and a player having a genuine problem.

Look for information such as:

  • Break-point opportunities
  • First-serve percentage
  • Unforced errors
  • Winners
  • Rally performance
  • Physical condition
  • Movement
  • Previous head-to-head results
  • Surface suitability

16. Trading an Underdog Who Starts Well

The opposite strategy is to back an underdog before the match and trade after they make a strong start.

For example:

Player B @ 4.50

Player B then takes the first set.

Their price might fall substantially.

Rather than continuing to hold the position, the trader can take the profit.

This can be attractive because the original objective was the price movement, not necessarily predicting the eventual winner.

17. Trading Around Match Points

Match points create enormous price movements.

If a player reaches match point, their price can collapse.

If they save match point, the price can immediately rebound.

This creates opportunities, but it is also one of the most dangerous areas of tennis trading.

A single point can turn a profitable position into a losing one.

Traders should be particularly careful with unmatched orders and fast-moving markets.

18. Trading an Injury or Medical Timeout

An injury can completely transform a tennis market.

A player who is struggling physically may suddenly drift dramatically.

However, attempting to anticipate an injury is extremely risky.

Instead, traders should react to observable information.

If a player takes a medical timeout and subsequently shows obvious physical problems, the market may reassess their chances.

This can create large price movements in both directions.

19. Trading Retirement Markets

Some exchanges provide markets relating to whether a player will retire.

These are specialist markets and require considerably more understanding of the rules and settlement conditions.

The key lesson is simple:

Always understand the market’s settlement rules before trading it.

Different markets can have different rules concerning retirements, walkovers and abandoned matches.

20. Trading the Match Handicap

Handicap markets can also be traded.

For example:

Player A -3.5 games

or

Player B +3.5 games

The price can move as the match develops.

These markets are particularly interesting when the match is expected to be relatively one-sided but the exact winner’s price is too short for a trader’s strategy.

21. Combining Pre-Match and In-Play Information

One of the most useful approaches is to combine pre-match analysis with what is actually happening on court.

Before entering a trade, consider:

Pre-match

  • Ranking
  • Recent form
  • Surface
  • Head-to-head
  • Serve statistics
  • Return statistics
  • Recent opponents
  • Injury history
  • Tournament conditions

In-play

  • Current score
  • Service performance
  • Break points
  • First-serve percentage
  • Unforced errors
  • Winners
  • Physical condition
  • Momentum
  • Body language
  • Quality of rallies

The market price should then be compared with your assessment.

22. Don’t Confuse Trading With Predicting

This is perhaps the most important concept.

A tennis trader does not necessarily need to predict the winner.

Instead, the trader is trying to identify when the market price is likely to move.

For example:

You might back Player A at 3.00 and lay at 2.20.

Player A could subsequently lose the match.

That doesn’t necessarily mean the trade was unsuccessful.

The trade was based on the price moving from 3.00 to 2.20.

A Simple Tennis Trading Framework

Before entering a position, ask five questions:

1. Why am I entering?

What do I believe the market has got wrong?

2. What price am I entering at?

Never enter simply because you “like” a player.

3. What is my target exit?

Know your target before placing the trade.

4. Where will I take a loss?

Every trade needs a point at which you accept that your original idea was wrong.

5. What could happen next?

Consider the next service game, break point, set point or tie-break.

The Golden Rule of Tennis Trading

The biggest mistake new traders make is waiting for the trade to become a winning bet.

A position trade should have an entry, a target and an exit plan.

For example:

Back Player A @ 2.50
Target exit @ 2.00
Maximum acceptable loss @ 3.20

The exact prices will depend on the match and the trader’s analysis.

The important thing is having the plan before emotions take over.

Final Thoughts

Tennis offers an unusually wide range of trading opportunities because the market is constantly responding to points, games, sets and changes in momentum.

The major strategies include:

  • Back-to-lay
  • Lay-to-back
  • Laying favourites
  • Backing drifting favourites
  • Trading underdogs
  • Trading breaks of serve
  • Trading break-backs
  • Set trading
  • Correct-score trading
  • Total-games trading
  • Set totals
  • Tie-break trading
  • Momentum trading
  • Service-game trading
  • Handicap trading
  • Injury-related trading

No strategy is guaranteed to make money.

The strongest approach is to treat every trade as a price-management exercise, rather than simply trying to pick the winner.

The objective isn’t necessarily to predict what happens at the end of the match.

It is to identify a price you believe is wrong, enter the market, manage the position and get out when the market moves in your favour.

That’s tennis trading.

Backing Favourites To Win

Santa Anita Park

This is the first of a set of featured posts detailing the trends of Favourites racing on the U.S. Race Tracks taking into account just the distances and race types.
In the UK the considered average strike rate for winning favourites hovers around the 33% mark. This figure for Santa Anita Park, In January 2026 is an Impressive 44% with an average BSP of 2.75. Backing to a £1.00 level stake, a 2% commission was implemented on winning bets. In January there were 132 races at Santa Anita. These races produced a £17.35 profit. This is a 13% ROI (Return on Investment). This result is quite good. We can explore the stats further to try and find a better strike rate. We should keep the average odds somewhere near the same.
The table below outlines the ROI and P/L for each distance run. This data is from January 2026. The analysis starts with the distances run.

DistanceRaces RunP/L to £1.00 Level stake
ROI
5f11-£4.01-36%
6f54£25.0546%
7f11-£8.45-77%
1m46£4.7410%
1m 1f9-£0.34-4%
1m 4f1£0.3636%

The highest performing distance in terms of ROI is the 6 furlong races. As you can see from the table above, these races produced an impressive 25 point profit. The only other profitable distance is 1 mile with a 10% ROI. Betting on the single mile and a half race is foolish. The odds were very short on the exchange at 1.36. They would have been even shorter in the thieving sportsbooks.
Having determined the best distance in terms of ROI we can break this down further into race types. The Next Table shown below breaks down the same stats from the 6 furlong races into the 7 different race types run over that distance in January

Race TypeRaces RunP/L to £1.00 Level stakeROI
Allowance2-£2.00-100%
Allowance Claiming12£1.7214%
Claiming15£14.7298%
Grade 31-£1.00-100%
Maiden Races14£7.9457%
Maiden Claiming83.6746%
Stakes Races2-£0.01-1%

The inference here is that the best performing races where the favourites won were Claiming, Maidens, and Maiden Claiming races. If we had backed Claiming, Maidens, and Maiden Claiming races over 6 furlongs in January, we would have seen success. Out of the 37 races run, the favourites won 65% of the time. This resulted in an overall profit of £26.34 and an ROI of 71% to a £1.00 level stake after 2% betfair commission.

If we discount the 1m 4f race, the only other distance that produced a positive ROI was 1m. At this distance, 46 races gained a 10% ROI and a £4.74 profit after commission.

The Table below, as before, breaks down the different race types

Race TypeRaces RunP/L to £1.00 Level stakeROI
Allowance2-£2.00-100%
Allowance Claiming7£1.5923%
Claiming15£2.2015%
Grade 31£2.73273%
Maiden8£1.8023%
Maiden Claiming 10£0.071%
Stakes Race3-£1.65-55%

There isn’t really much to shout about over this distance regarding winning favourites. As with the other non-profitable distances, it is probably betornot to bet at all.

Summary
Betting to a £1.00 level stake at Santa Anita in January would have been profitable. You would bet on the BSP favourite for each race. A reasonable profit would have been made over the course of the month. This of course is just one race track and one month of analysed data. These figures, though, have been pulled from the Betfair website. The odds can be significantly better than at the bookmakers at the official ISP (Industry Starting Price).
There are occasions where the Bookmakers favourite is different from Betfair’s favourite. This happened during the 2nd race on 2nd January. The BSP favourite was Molly Jenson at odds of 2.92. Molly Jenson won, while the bookmakers favourite, EAST BOCA KIBBUTZ, came 2nd at an ISP of 2.3 and 3.75 at the exchange!! Molly Jenson went off at odds of 3.4 at the bookies!
Skulduggery or just a betting frenzy on the exchange just before post time?

Disclaimer
These figures shown on this post are meant to guide you. They highlight the possibilities of making a small profit from backing favourites in certain races at the U.S. Tracks. I accept no responsibility for future results. They may or may not result in profits. Care should be taken to bet only what you can afford to lose.

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How I Turned £10 into Profit: A Betting Journey Through Wimbledon 2025

Putting my research into practice I set aside a £10.00 “Bank” and at the start of the tournament started laying the top 10 seeded players for a liability of £1.00.
These were in order of seeding:
1. Sabalenka
2. Gauff
3. Pegula
4. Paolini
5. Zheng
6. Keys
7. Andreeva
8. Swiatek
9. Badosa
10. Navarro

Round 1

The 1st round saw 4 of the top 10 seeds lose, namely Gauff, Pegula, Zheng, and Badosa.
Gauff, the No 2 Seed lost in straight sets to Yastremska and I laid her at 1.20 for a stake of £5.00.
Pegula, the No 3 seed, lost to Cocciaretto, again in straight sets, 6-2/6-3 and managed to lay her at odds of 1.13 for a stake of £7.69
Zheng, The No 5 seed, lost to Siniakova 7-5/4-6/6-1 Laying her at odds of 1.60 netting me £1.67
Badosa, the No 9 seed was the final casualty of the 1st round losing to Boulter 6-2/3-6/6-4. She was the biggest odds at 1.70 and with a stake of £1.43
The other 6 top 10 seeded players all made it through to the second round which meant that these 6 cost me a total of £6.00 in liability stakes but with the afore mentioned players falling I had a profit of £15.79 from these matches which gave me a £9.79 net profit from the 1st round matches.

Round 2

6 of the top 10 seeded players were now safely through to the second round and this posed a possible £6.00 loss if all 6 won their matches. Paolini, the No 4 seed, who I had laid at odds of 1.19 for a stake of £5.26 lost to unseeded Rakhimova 4-6/6-4/4-6. Losing £5.00 on the other 5 top 10 seeded players this shock exit of the No 4 seed netted me a small profit of 26p to add to my £9.79 profit from round 1.
Total net profit from the 1st 2 rounds now stood at £10.05 and only 5 of the top 10 players left in the tournament.

Round 3

The sixth casualty was Madison Keys, the No 6 seed lost to Siegemund in straight sets 6-3/6-3. Having laid keys at odds of 1.19 for a stake of £5.25 this netted me £1.25 for the round and a total profit for the tournament so far of £11.30 as the other 4 seeds made it safely through to round 4

Round 4

This round saw the match up of No 7 seed Andreeva and No 10 seed Navarro which meant that my total possible loss from round 4 would be reduced from a highest of £4.00 if all 4 won their matches to £2.00 if Sabalenka and Swiatek both won plus, either a net profit if Navarro (Odds 2.60) won, or a net loss if Andreeva (Odds 1.62) won. In the event Both Sabalenka and Swiatek did indeed win their matches and Andreeva dismissed Navarro in straight sets 6-2/6-3 this gave me a net loss of 37p on this match plus £2.00 loss on the other 2 players making the 4th round my first loss of the tournament of £2.37 making this a total tournament profit so far of £8.93. This also left 3 players in the Quarter Finals and a potential loss in that round of £3.00

Quarter Finals.

The quarter finals saw Sabalenka safely through to the semi finals as did Swiatek giving a loss of £2.00 but Andreeva lost to Bencic which won me £2.05 after laying Andreeva at odds of 1.49. This gave me a round profit of 5p and even though small is still a profit and my tournament total going into the Semi Finals stood at a healthy £8.98

Semi Finals

Sabalenka played Anisimova and at last the No 1 seed fell! Laying her at odds of 1.4 for a stake of £2.50 this gave me a round profit of £1.50 to add to my total as Swiatek dismissed Bencic in straight sets 6-2/6-0
Total profit going into the final now stood at £10.48.

The Final

The odds for Swiatek to win the final were 1.42 which I laid for a stake of £2.38 this meant that if she did win my Tournament profit would be £9.48 or if Anisimova won my profit for the tournament would finish up at £12.86.
Swiatek demolished Anisimova 6-0/6-0 to become the first Polish lady to win the Ladies Title and reduce my profit for the tournament to £9.48.

Summary

I made the rules at the beginning of the tournament and kept my liability to £1.00 per player and not by market which would have made things complicated in “Match-Up” matches. The chart above shows P/L in £ of each player. It is not actually necessary to have an exchange account as a similar result can be obtained by backing the opponents of the seeded players for your desired stake. As a quick comparison in the Match between Coco Gauff and Yastremska in the 1st round. I laid Gauff at odds of 1.2 giving me a profit of £5.00 but the best odds available to back Yastremska at the bookies was 4/1 (5.0), if you had backed her at these odds your profit would have been £4.00 instead of £5.00

Had I have lost my £10.00 bank halfway through the tournament then I would have stopped and that would have been that, but having researched this, the trends suggested that the Ladies tournament provided the better chance of profit than the Gentleman’s tournament using this strategy. I am sure that many of you reading this will scoff at the stakes involved saying is it worth it. I don’t really care what you think! this was a practical exercise where I had an idea and put it to the test with a bank that I was prepared to lose. I have now increased that bank by nearly as much again of which I will utilise by increasing the liability to £1.20 for the WTA 250 Hamburg Ladies Open and laying the top 8 seeded players

Disclaimer

If you liked this content please “like” so I can get some feel for the effort I am putting into this being beneficial to others who are looking to make a couple of quid but no fortunes.

Please gamble responsibly and don’t bet more than you can afford. The content of this post is historical fact and in no way guarantees the out come of future tournaments.

ASB Classic 2025 Tournament Results and Insights

The ASB Classic is the first WTA 250 tournament of the year on the WTA 250 Tour. Comprising of 32 players competing for tour points and prize money that will advance their world standings as the points accumulate. As with other posts in this series I will be looking at the fate of the top eight seeded players for each tournament furthering my own research into making small profits by laying these players to a fixed liability of £1.00 (which is 10% of a starting bank of £10.00) at the Betdaq exchange, where at present I enjoy a 0% commission rate.
The top 8 seedes in order of rank were for this tournament as follows
1. Keys. M
2. Mertens. E
3. Anismova. A
4. Sun. L
5. Tauson. C
6. Raducanu. E
7. Osaka. N
8. Volynets. K

Both Mertens and Raducanu withdrew from the tournament before the start due to injury.

Round 1

With just 6 of the top 8 seeds starting the maximum loss if all seeded players won in the 1st round would be £6.00. Both the 3rd and 4th seed lost their first round matches. Sun (4) losing 6-3/3-6/6-3 and Anisimova (3) losing 2-6/6-2/6-3. The table below shows the P/L of the first round matches where each of the seeded players were laid to a £1.00 liability.

Round 1 resulted in a small loss of 34p and 4 players advancing into the 2nd round.

Round 2

With 4 of the top 8 seeds progressing into the second round and a 34p loss from the 1st round our maximum loss if all players won the second round would be £4.34. Unfortunately for our laying strategy this is exactly what happened. The table below shows just this.

A total loss of £4.34 after round 2 still leaves us £5.66 of our £10.00 bank intact and is ample to now see us through to the end of the tournament.

Quarter Finals.

The quarter finals have eventually seen the match up of 2 of our seeded players, Touson and Keys so we now know that our Maximum loss for the Quarter finals is not £4.00 as in the second round but £2.00 plus whatever the outcome of the matched up seeded players returns. This could be a profit if the favourite has short enough odds and loses or a small offset loss if she wins
In the event of it No 8 seed Volynet loses to Parks and in the Match up match between Touson and Keys, Keys was the odds on favourite to win the match but Touson won it in straight sets 6-4/7-6. This produced an overall profit of £1.95 for the Quarter Finals round as shown in the table below.

If we add this profit to our previous losses in the 1st and second rounds we still have a loss of £2.39.

Semi- Finals

With just 2 of the seeded players in the semi finals and each playing another player our maximum loss for the semis is just £2.00 if both players advance to the final. And this is exactly what happened unfortunately. Both players won in straight sets Tauson winning 6-4/6-3 and Osaka 6-4/6-2. This brought our total tournament loss to £4.39 with a similar situation as in the quarter finals where two of the seeded players play each other. The table below shows the semi final results

The Final.

The tournament organisers must have been very pleased with themselves as the seeding worked and 2 of the seeded players meet in the final but depending on which one wins will either increase our tournament loss or decrease it depending on the odds. Osaka was the odds on favourite at 1.53 and if she wins then our tournament loss would be increased. If however she were to lose to the “underdog” Tauson who had lay odds of 2.79 then we would win more from Osaka’s loss than from Tauson’s Win and it would decrease our overall tournament loss. The table below shows just what happened.

As you can see in the table we lost £1.00 with Tauson winning but we won £1.89 with Osaka becoming runner up. This gave us a 89p profit to add to our tournament loss of 34.39 giving a total of £3.50 loss. The table below shows all the lay bets made and odds with stakes for each match.

Summary

Over the whole of the tournament we would have made a total of 18 bets at £1.00 liability. The early exit of Anisimova and Sun helped preserve the bank to a certain extent and from this point a total loss whilst possible proved unfounded and left us with a workable bank of £6.50 of which we can take into the second WTA 250 tournament using liability bets of 65p.

Disclaimer

If you liked this content please “like” so I can get some feel for the effort I am putting into this being beneficial to others who are looking to make a couple of quid but no fortunes.

Please gamble responsibly and dont bet more than you can afford. The content of this post is historical fact and in no way guarantees the out come of future tournaments.


Betting Trends at Wimbledon: Analyzing Top Seed Losses

Before the year 2000 you would have to go back to 1962 to find a player out of the top 5 seeding in the ladies tournament that won. Since and including 2000 there have only been 10 players that were within the top 5 seeding that have won the ladies tournament. Where did these players fall by the wayside and what odds on the exchange could you lay them off at?
2024 saw 31 seed Krejcikova winning the tournament with a 2-1 victory over 7 seed Paolini, but the top 10 seeds started falling out in the 1st round with the dismissal of Zheng and Vondrousova with sportsbook odds of 1.17 and 1.13 respectively. Round 2 saw 5 seed Pegula lose to unseeded Wang, her sportsbook odds were 1.25. The third round was a disaster for the seeded players with 1 seed Swiatek (Odds 1.08), 9 seed Sakkari (Odds 2.2) , and 10 seed Jabeur (Odds 1.5) all crashing out. This left just 4 of the top 10 seeded players progressing into the 4th round which also saw casualties in the form of 2 seed Gauff (Odds 1.29) and 11 seed Collins (Odds 1.44). (I have included Collins at 11 seed because No 3 seed Sabalenka withdrew before round 1 and did not play in the tournament). Both remaining top 10 seeded players, seed 4 Rybakina and seed 7 Paolini made it safely through the quarter finals but the semi finals were the limit for seed 4 Rybakini (Odds 1.2) who lost to eventual winner Krejcikova. As mentioned before Paolini was the last of the top 10 seeds to fall and became tournament runner up with match odds of 2.2.

The implications of these events warrant some serious investigation into either backing the underdog at sportsbook odds if you haven’t got an exchange account or laying the seeded player on the exchanges.

2024 Round 1 Matches

Wimbledon 1st round matches backing the underdog at £1.00 level stakes

The table above shows the results and profit had you backed the underdog with Bet365 sportsbook for a £1.00 level stake. As you can see your profit would have been £1.00

Wimbledon 1st round matches laying the top 10 seeded players.

This second table shows the results and profit achieved when laying the top 10 seeded players for a £1.00 liability at the exchange with a 0% commission If you factor in a 2% commission then the profit would be £3.02 instead of £3.25.

2024 2nd Round Matches

Wimbledon 2nd Round Backing the Underdog at £1.00 Level Stakes

In the 2nd round just 1 seeded player was knocked out and the “underdog” for the match was Wang Xin who was 3/1. Total stakes for round 2 was £8.00 producing, after Wangs’ win, a total loss of £4.00. This brings our total P/L for the tournament if we were backing the opponent of the top 10 seeded players to -£3.00.

Wimbledon 2nd round matches laying the remaining top 10 seeded players for a £1.00 liability

This table above shows the results if we had laid the remaining top 10 seed players. Our loss after 2% commission would be £3.74 giving a total loss of £3.72

2024 3rd Round Matches.

Wimbledon 3rd round matches Backing the underdog for a £1.00 level Stake

2024s’ 3rd round saw 3 of the top ten seeded players get knocked out including No 1 seed Swiatek which produced the highest individual profit of £7.00. The overall profit for round 3 backing the underdogs at Bet365 was £5.30 giving us an overall tournament profit of £2.30.

Wimbledon 3rd round matches laying the remaining top 10 seeded players to £1.00 liability

The dismissal of 3 of the remaining 7 top 10 seeded players has put our P/L back into the black with a 3rd round profit of £5.71 before commission deduction. With this factored in the 3rd round profit is £5.51 giving a tournament profit of £1.79

2024 4th Round Matches

Wimbledon 4th round matches backing the underdog at £1.00 level stakes

The dismissal of both Gauff and Collins in round 4 would have given us a level stake profit of £2.50 backing the underdog at Bet365 the retirement of both Keys and Kalinskaya ensured safe passage to the Quarter Finals of the remaining 2 top ten seeds Paolini and Rybakina. With these two wins in this round our total tournament profit for backing the underdog now stands at £4.80.

Wimbledon 4th round matches laying the remaining 4 top 10 seeds to a liability of £1.00.

Laying players at such short odds at the exchange has paid off in this round giving us an after commission profit of £3.10 adding to our tournament profit giving a total of £4.89

2024 Quarter Finals

Both of the remaining top 10 seeded players made it safely through to the semi finals reducing our Level stake profit when backing the underdog to £2.80. Laying the seeded players also had the same effect on our laying to a liability profit to £2.89 after commission.

2024 Semi Finals

Wimbledon 2024 Semi Final Matches showing the backing of the underdog at £1.00 level stakes

Paolini triumphed in her semi final match against unseeded Vekic but backing Krejcikova to win against Rybakina paid dividends producing an overall semi final profit to £1.00 level stakes at Bet365 of £2.0 giving us an overall tournament profit with just the final to play of £5.30.

Semi final matches involving the remaining 2 top ten seeded players when laying to a £1.00 liability.

Again laying the seeded player instead of backing the underdog produced a greater profit before 25 commission was deducted even with the commission subtracted the profit is £3.28 giving a total tournament profit with just the final to play of £6.17

2024 The Final.

The Final for Wimbledon 2024 where 31 seed Krejcikova beat 7th Seed Paolini 3/6 6/3 6/4

Backing the “Underdog” in the final at Bet365 produced a profit of 73p which when added to our tournament total for backing the underdog at £1.00 level stakes has given us a tournament grand total of £6.03

Laying the seeded player paid off again giving a small profit after commission of 78p

Laying the no 7 seed Paolini at odds of 2.25 has seemed the only sensible bet in the tournament given the odds of the eventual winner, Krejcikova, of 1.8 at the exchange. A profit of 78p was achieved after the reduction of 2% commission and when added to the tournament total for laying each and every one of the top ten seeded players produced an overall profit of £6.95. This is 92p more than backing the underdog at a sportsbook.

Analysis of the tournament.

Without doubt had we laid the top ten seeded players then our profit would have been more than backing the underdog at the bookmaker. However there is the fact that bookmakers need to create at least a 7% overound and we may well have benefited more by backing the underdog at an exchange especially if you have a promotional 0% commission. Without the top seeds falling by the wayside early on in the tournament the profit would have been less or even a loss might have occurred, certainly our profit was boosted by the single fact that Swiatek crashed out in the 3rd round!
Overall a success and in fact a low risk strategy. Laying to a liability of just £1.00 means that we can monitor and control any losses. We can make the lay bets in the knowledge that if we start with a small bank of just £10 and not let any emotion enter into our decisions we can keep this strategy fun.

How the seeded players faired in previous years.

2023

Top 10 Seeds

Swiatek – Lost in Round 4 (Odds 1.19)
Sabalenka – Lost in Semi Finals (Odds 1.7)
Rybakina – Lost in Quarter Finals (Odds 1.71)
Pegula – Lost in Quarter Finals (Odds 1.76)
Garcia – Lost in Round 3 (Odds 2.05)
Jabeur – Lost in The Final (Odds 1.5)
Gauff – Lost in round 1 (Odds 1.34)
Sakkari – Lost in round 1 (Odds 1.36)
Kvitova -Lost in Round 4 (Odds 1.8)
Krejcikova Lost in Round 2 (Odds 1.35)

Swiatek
Reached the 4th round where she lost to Svitolina After losing 3 lay bets at £1.00 each we would have won £5.26 giving a profit of £2.54
Sabalenka
Reached the Semifinals where she lost to Jabeur. After losing 5 lay bets at £1.00 each we would have won £1.43 giving a loss of £3.57
Rybakina
Reached the quarter finals were she lost to Jabeur. After 4 losing lay bets at £1.00 each we would have won £1.41 giving a loss of £2.59
Pegula
Reached the Quarter finals where she lost to Vondrousova. After losing 4 lay bets at £1.00 each we would have won £1.32 giving a loss of £2.68
Garcia
Reached the 3rd round where she lost to Bouzkova. After losing 2 lay bets at £1.00 each we would have won 96p giving a loss of £1.04
Jabeur
Reached the final where she lost to Vondrousova. After losing 6 lay bets at £1.00 each we would have won £2.00 giving a loss of £4.00
Gauff
Lost in the 1st round to Kenin. We would have won £2.94.
Sakkari
Lost in the 1st round to Kostyuk. We would have won £2.78
Kvitova
Reached the 4th Round where she lost to Jabeur. After losing 3 lay bets of £1.00 each we would have won £1.25 giving a loss of 1.75
Krejcikova
Reached the 2nd round where she lost to Andreeva. After just 1 losing lay bet of £1.00 we would have won £2.86 giving a profit of £1.86

Conclusion.


We would have lost £5.51 over the whole tournament this year if we had laid each of the top 10 seeds to the end.

2022

Top 10 seeds

Swiatek – Lost in Round 3 (Odds 1.2) – P/L £3.00
Kontaveit – Lost in Round 2 (Odds 1.50) – P/L £1.00
Jabeur – Reached the Final (Odds 1.83) – P/L -£4.80
Badosa – Reached the 4th Round (Odds 3.4) – P/L -£2.58
Sakkari – Reached the 3rd Round (Odds 1.20) – P/L £3.00
Pliskova – Reached the 2nd round (Odds 1.71) – P/L £0.41
Collins – Lost in the 1st Round (Odds 1.79) – P/L £1.27
Pegula – Reached the 3rd Round (Odds 1.57) – P/L -£0.25
Mugurusa – Lost in the 1st round (Odds 1.25) – P/L £4.00
Raducanu Reached the 2nd Round (Odds 1.70) – P/L £0.43

Conclusion

We would have Won £5.48 over the whole tournament this year if we had laid each of the top 10 seeds to the end.

Betting Insights: Analyzing Provisional Odds for Winners

Yesterday I showed you how to create a basic query in TSMs’ Selection Hunter to find some likely winners using the back test mode to discover any trends and it came up with the following 3 horses
The selections are
13:50 Stage Star
14:25 Copperhead
15:00 Sunray Shadow.

If you missed it you can read the post here




13:50 Stage Star
Stage Star met the provisional odds criteria of between 2.00 and 2.99 but went off at a BSP of 3.21. Our conditions of placing a bet with betangel were that the BSP had to be between 2.00 and 2.99 for the software to trigger. 3.21 was out of our range at 3.21 so no bet was made.

Stage Star only managed 4th out of 5

14:25 Copperhead
Joe Tizzards’ Copperhead also qualified as the provisional odds were posted as 2.85 but again the BSP was outside of the criteria and went off at 3.5 giving us another miss fire from Betangel.
Copperhead Won by 14 lengths!!!

15:00 Sunray Shadow
The final selection was the Skelton trained and ridden Sunray Shadow who’s Provisional odds were posted at 2.5. Winning by a length and a 1/4 the BSP was well within the range at 2.23 and Betangel Fired the bet in 10 seconds before post time catching 2.25

Summary
2 of the 3 selections went off at odds outside the criteria one of them winning but alas one losing
2 of the 3 went off as favourites despite all 3 being ranked as provisional favourite.
Betangel fired just one bet and this returned 125% ROI
Given the strike rate of the criteria when back tested (68%) 2 actual winners from our query seemed to tentatively back this trend.

Cautionary note
While this was a completely genuine test run you should not go out and back every Aintree runner with a BSP of between 2.0 and 2.99 even though I back tested over a period of nearly 2 years results you should always do as much research as you can and start with stakes that you can afford to lose.

Build your bank steadily Racing is not going to finish tommorrow!!!

The staking Machine software has limited use for free but If you want to take advantage of the Selection Hunter you will need to pay – It only costs £24 for 1 year – Twenty Four!! this is not a typo and can be paid via paypal
That’s only 2 quid a month and if you had backed Sunray Shadow for a quid you would have made over 1/2 a months subscription already.